About Me

  • Full Name:Pratham Agarwal
  • Email:agarwalpratham2001@ gmail.com
  • Website:

Hello There!

Welcome to my portfolio website! I'm Pratham, a passionate 4th Year Data Science and AI undergraduate student at Nanyang Technological University, Singapore. Here, I showcase my journey through the exciting realms of Machine Learning, Transformers, and Generative AI, with a particular focus on their applications in Fintech and Quantitative Finance. Dive into my projects, research, and insights as I explore the intersection of technology and finance, revealing how AI is shaping the future of the financial world

My Resume

  • Work Experience

  • Data Scientist(Intern)

    GIC (Jan 23 - Current)

    Conducted in-depth research to develop and enhance the current yield projection models for Fund Indirect Investments.Developed dashboard using Plotly Dash, offering comprehensive investment insights into Private Firms within the Technology and SaaS sector. Additionally, conducted NLP and Key-Purchasing-Criteria Analysis on App Reviews and Product Reviews to extract positive and negative aspects of the SaaS product compared to its competitors.

  • Summer Analyst(Investment Risk)

    EastSpring Investments(May 22- Aug 22)

    Devised data pipeline and automation scripts using Python and PowerAutomate to automate process of data collection from data vendor and error checking. Built dashboard employing data visualising tool Python (Dash and Streamlit) for Factor Risk Models for Portfolios and identification of top Risk factors and dashboard for Counter-party Exposure with respect to credit Ratings. Researched on determining Variable Swing Factor to counter Large Fund Redemptions.

  • Data Science and ML Intern

    Etiqa Insurance(May 21 - Aug 21 , Jan 22-Apr 22

    Deployed Deep Learning NLP and Computer Vision and simple Machine-Learning models using TensorFlow, Scikit-Learn and XGBoost for insurance claims, cross-sell products recommendations and filling missing values.Achieved an accuracy of 93% for Deep Learning Gender Imputation Model and deployed on firms ML pipeline.Developed Insurance Document Classifier with OpenCV feature extraction(ORB and SIFT) and BayesianClassifier and achieved accuracy of 98%.


  • Education

  • BSc. Hons Data Science and AI

    Nanyang Technological University(2020 - 2024)

      CGPA : 4.45/5
    • Project Leader NTU Quantitative Asset Management Club
    • Member Investment Banking Club
    • Research Member for the MLDA@EEE Club
    • Marketing and Design Officer for IEEE club at NTU
    • IT Sub-Committee Officer School of Computer science and Engineering club

  • High School Diploma

    The Scindia School(2013-2020)

    CBSE : 99/100

Skills

Python100%
MySQL95%
C90%
R90%
JavaScript85%
ReactJS85%
HTML85%
CSS85%

Libraries and Visualization Tools

Numpy100%

Pandas100%

Scikit-Learn100%

spaCy90%

OpenCV95%

NLTK90%

Plotly and Altair100%

Matplotlib90%

DL Frameworks,Dahsboards and DataBases

Tensorflow85%

PyTorch90%

MySQL100%

MongoDB85%

Dash Plotly100%

Rshiny80%

Cloud and Version Control

AWS90%

Azure90%

Snowflake80%

GitHub100%